Long-run causal relationship between economic growth, transport energy consumption and environmental quality in Asian countries: Evidence from heterogeneous panel methods

Energy ◽  
2020 ◽  
Vol 192 ◽  
pp. 116628 ◽  
Author(s):  
Samia Nasreen ◽  
Mounir Ben Mbarek ◽  
Muhammad Atiq-ur-Rehman
Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6664
Author(s):  
Jaruwan Chontanawat

Southeast Asian region is fast growing in terms of economy with rapid population growth, high energy consumption, and pollution. Understanding these linkages are crucial to guidance of appropriate policy. This study aims to examine the causal relationship between energy consumption with economic growth and CO2 emissions of the four selected Asian countries, namely Indonesia, Malaysia, Philippines, and Thailand between the years 1971–2017 using Johansen cointegration method combined with Granger causality model. The results found the evidence of cointegration in all countries implying a long-run relationship among energy consumption, economy and pollution exists. The causality main results show the evidence of unidirectional causality running from economic growth to energy consumption in Indonesia, Malaysia, and Thailand, while the opposite direction was found in Philippines. The results of Indonesia, Malaysia, and Thailand support “conservative hypothesis” suggesting that energy conservation policies could be adopted in these countries as it would not constrain growth of the economies. Whereas the results of Philippines appear to support “growth hypothesis” implying that energy is a key driver to stimulate economy. Limiting the use of energy could affect the economy. Instead, the policies, therefore, should focus on promoting other alternative energy source such as renewable energy in order to maintain sustainable growth.


2019 ◽  
Vol 74 (4) ◽  
pp. 761-779 ◽  
Author(s):  
Yaping Liu ◽  
Tafazal Kumail ◽  
Wajahat Ali ◽  
Farah Sadiq

Purpose The present study aims to investigate the dynamic relationship between international tourist receipts, economic growth, energy use and carbon dioxide (CO2) emissions in Pakistan over the period 1980-2016. Many researchers have investigated the link between tourism and CO2 emissions, but there is no clear picture as the results are contradictory. This study is an attempt to compliment the literature related to tourism and environmental quality. Design/methodology/approach The study adopted the autoregressive distributed lagged (ARDL) model to investigate the short- and long-run estimates simultaneously. The study further applied Granger causality to find out the direction of causalities. To arrive at long-run robust estimates, the study used dynamic ordinary least squares (DOLS) model. Findings The results found that tourist receipts have no significant impact on environmental quality, while growth and energy consumption are the main determinants of CO2 emissions in Pakistan. The Granger causality test confirmed unidirectional causalities from GDP and energy consumption toward CO2 emissions, while tourist receipts do not affect environmental quality. DOLS technique confirmed the long-run estimates of ARDL model. Research limitations/implications The result of the study complements the literature by adding new evidence regarding the nexus of tourism and environment. Findings of the study are important for policymakers and regulatory bodies to place their focus on the development of tourism sector (services sector) rather than energy-intensive manufacturing activities to sustain the growth of the country in higher quartiles, as tourism receipts have no significant negative externalities toward environment, while energy use is one of the key determinants of environmental degradation. Originality/value This study used time series data over the period 1980-2016 for Pakistan to inspect the dynamic relationship between tourist receipts, economic growth, energy consumption and CO2 emissions.


2020 ◽  
Vol 9 (2) ◽  
pp. 279-295 ◽  
Author(s):  
Hummera Saleem ◽  
Malik Shahzad Shabbir ◽  
Muhammad Bilal khan

PurposeThe purpose of this study is to analyze the dynamic causal relationship between foreign direct investment (FDI), gross domestic product (GDP) and trade openness (TO) on a set of five selected South Asian countries.Design/methodology/approachThis study used newly developed bootstrap auto regressive distributed lags (ARDL) cointegration test to examine the long-run relationship among FDI, GDP and TO for selected South Asian countries for 1975–2016.FindingsThe economic growth (EG) is significantly related to TO for Bangladesh, India and Sri Lanka and the expansion of TO is crucial for growth in these countries. The results show that all countries (except Bangladesh) found the existence of long-run cointegration between FDI, GDP and TO, whereas FDI is a dependent variable. These results concluded that FDI and TO are contributing to EG in these selected countries.Originality/valueThis study is one of the first attempts to investigate the causal relationship and address the short and long dynamic among FDI, GDP and TO regarding five south Asian countries such as Bangladesh, India, Nepal, Pakistan and Sri Lanka.


2021 ◽  
Vol 8 ◽  
Author(s):  
Yusuf Babatunde Adeneye ◽  
Amar Hisham Jaaffar ◽  
Chai Aun Ooi ◽  
Say Keat Ooi

This study investigates the dynamic relationships between carbon emission, urbanization, energy consumption, and economic growth in a panel of 42 Asian countries for the period 2000–2014 using dynamic common correlated effects panel data modeling. This study employs second generation cross-sectional Pesaran (J. Appl. Econom., 2007, 22(2), 265-312) panel unit root, Westerlund panel cointegration tests (Econom. Stat., 2007, 69(6), 709-748), and Pesaran’s (Econometrica, 2006, 74(4), 967-1012) common correlated effects mean group estimation technique. These approaches allow for cross-sectional dependence, and are robust to the presence of common factors, serial correlation, and slope heterogeneity. The Common Correlated Effect Mean Group test reveals a high average coefficient of 0.602 between carbon emission and energy consumption while low coefficients of 0.114 and 0.184 for the pairs of carbon emission-urbanization and carbon emission-GDP, respectively for the panel as a whole, suggesting a cointegration between carbon emission, urbanization, energy consumption, and economic growth. The results indicate that there is relatively high carbon emission especially for highly populated and geopolitical risk Asian countries in the short run. Findings reveal long run relationships between the variables, which is attributed to the on-going carbon taxation and energy prices. Our results are robust to PMG-ARDL estimator. Overall, these findings cast important implications on renewable energy policy and urban planning insights for the policymakers.


2012 ◽  
Vol 524-527 ◽  
pp. 3376-3379 ◽  
Author(s):  
Ming Liu ◽  
Sue Ling Lai ◽  
Kuo Cheng Kuo

This study examines the causal relationship among economic growth, energy consumption and tourism development in Taiwan over the period from 1965 to 2010. Three Principle test results emerge from this study. First, test results indicate a long-run equilibrium relationship and a bi-direction of causality between energy consumption and tourism development with one proxy, number of visitors, being more significant than the other, visitor expenditures. Second, a bi-directional causality between energy consumption and economic growth is observed. Third, test results indicate no reciprocal causal relationship between tourism development and economic growth. From an energy conservation and sustainable tourism point of view, it is suggested policy makers and industry leaders develop high value, high profit tourism products that aim on attracting more visitor expenditures rather than numbers of visitor.


2016 ◽  
Vol 4 (2) ◽  
pp. 114
Author(s):  
Samia Gmidene ◽  
Saida Zaidi ◽  
Sonia Zouari Ghorbel

The main purpose of this study is to investigate the causal relationship among renewable energy, nuclear energy consumption, economic growth, and CO2 emissions for selected OECD countries over the period 1980 to 2013. All variables are found to be cointgrated.Results of Granger causality show long-run relationship from GDP, renewable energy consumption and nuclear energy consumption to CO2 emissions, from CO2 emissions, GDP, to renewable energy consumption, from emissions, GDP to renewable energy, and from CO2 emissions GDP and nuclear energy consumption.In short run, results show that there exists bidirectional causality between GDP and CO2 emissions, and unidirectional causality running from renewable energy consumption to GDP. Also unidirectional causality running from renewable energy consumption to CO2 emissions without feedback but no causality running from nuclear energy consumption to CO2 emissions was found. This evidence suggests that renewable energy can help to mitigate CO2 emissions, but so far, nuclear energy consumption has not reached a level where it can CO2 emissions.


2021 ◽  
Vol 16 (3) ◽  
pp. 183-202
Author(s):  
Hamad Hasul Khan ◽  
◽  
Siti Rahyla Rahmat ◽  

The study examines the dynamic relationship between foreign direct investment (FDI) inflows, economic growth, and environmental degradation and investigates the long-run validity of the environmental Kuznets curve (EKC) and the pollution haven hypothesis (PHH) for selected Asian countries over the period 1990–2019. Additionally, this study aims to discover the longrun impact of energy consumption, globalization, and population density on environmental degradation by employing a panel cointegration approach, fully modified ordinary least squares (FMOLS), and dynamic ordinary least squares (DOLS). The findings provide clear evidence of the existence of EKC and PHH in Asian countries for the period 1990–2019 in the long run. The findings reveal that economic growth has a highly significant and positive role in depleting environmental quality, but this effect gets reversed in the long run as, after a certain turning point, economic growth increases, and the quality of the environment gets better. Moreover, FDI inflows and energy consumption have a positive long-run impact on CO2 emissions, thus contributing to environmental degradation. The study recommends that governments and policymakers should strategically devise and implement CO2 reduction policies, such as carbon pricing, to encourage economic growth and to improve the quality of the environment, with the ultimate goal being to achieve sustainable development. Moreover, the use of cleaner energy should be promoted, and innovations and technological developments should be encouraged for hydropower, wind power, solar energy and other facilities around the world.


2020 ◽  
pp. 1-5
Author(s):  
Erasmus L Owusu ◽  

The paper empirically examines the short and long-run causal relationship between energy consumption, CO2 emission, population growth and economic growth in South Africa. In so doing, the paper employs multivariate Granger-Causality within an ARDL-bounds testing approach to co-integration and unrestricted error correction model (UECM). The paper finds that energy usage and electricity consumption cause economic growth in South Africa but only in the short run. Additionally, the paper finds that, economic growth, population growth and energy consumption cause CO2 emission. Thus, policies should be targeted at the expansion of renewable and efficient electricity production in order to cope with the expected demand from expected population growth and from increasing demand from industries in order to maintain sustainable economic growth


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